Instructions to use amornpan/openthaigpt-MedChatModelv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amornpan/openthaigpt-MedChatModelv8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amornpan/openthaigpt-MedChatModelv8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 484964ed214b5b7d8f30bd9387ec2ff44ddabdda62ae0eb570a2fe7101c6c6a0
- Size of remote file:
- 162 MB
- SHA256:
- 60e414c2c58e32dbd6619a86093b31860446a668960490d7515b3359067cafb7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.